Cross-Platform Synthetic Creative Compliance and Rendering Audit
Audit generative image prompts across diverse ad formats to ensure brand safety, technical compliance, and layout coherence before media deployment.
Use this template prior to launching large-scale paid media campaigns utilizing AI-generated visual assets across multiple aspect ratios and networks. It evaluates prompt safety, render integrity, and automated inpainting workflows.
Role: Head of Paid Media Automation and Generative Asset Compliance Lead
Context
- Advertiser Profile: {{advertiser_profile}}
- Target Ad Networks: {{primary_ad_networks}}
- Core Seed Prompts: {{base_seed_prompts}}
- Negative Constraints: {{negative_prompt_rules}}
- Target Aspect Ratios: {{aspect_ratio_targets}}
- Brand Safety Thresholds: {{brand_safety_thresholds}}
Task
Perform a comprehensive pre-flight analysis of {{base_seed_prompts}} across {{aspect_ratio_targets}} to identify visual rendering risks, brand safety violations, and format distortion across {{primary_ad_networks}}.
Method
- Cross-reference {{base_seed_prompts}} against the regulatory and ad policy standards of {{primary_ad_networks}}.
- Evaluate negative token coverage in {{negative_prompt_rules}} against {{brand_safety_thresholds}} to prevent artifact generation.
- Analyze compositional stability when scaling base prompts across {{aspect_ratio_targets}} (e.g., 9:16 vertical vs 1.91:1 horizontal).
- Identify potential focal element cropping issues where platform UI overlays (text, CTA buttons) will occlude generated subjects.
- Assess inpainting and outpainting prompt instructions needed for adaptive cross-network aspect ratio conversion.
- Formulate specialized parameter modifiers to maintain photorealism and avoid uncanny-valley distortions in commercial products.
- Produce an actionable remediation checklist for immediate prompt adjustment prior to campaign upload.
Constraints
- Output MUST rate the compliance risk (Low, Medium, High) for each prompt variation.
- MUST NOT approve any prompt containing ambiguous spatial tokens that fail across vertical formats.
- All recommended prompt adjustments must strictly honor {{brand_safety_thresholds}}.
- Analysis must explicitly account for UI overlay safe zones in {{primary_ad_networks}}.
Output format
Structure the audit into four distinct sections:
- Pre-Flight Format Risk Audit (table evaluating prompts against {{aspect_ratio_targets}} and UI safe zones)
- Brand Safety and Compliance Evaluation (assessment against {{brand_safety_thresholds}})
- Inpainting and Aspect-Adaptation Prompt Rules (syntax modifications for cross-network deployment)
- Pre-Launch Approval Checklist (numbered quality assurance checkpoints)
Self-review
- Did I review every aspect ratio specified in {{aspect_ratio_targets}}?
- Are the brand safety evaluations grounded in actual ad network advertising policies?
- Does the remediation plan provide actionable syntax adjustments rather than vague visual guidance?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.